19 citations · 22 across the 10 of their papers we have counts for
12 papers · 1 filter
MEBench: A Novel Benchmark for Understanding Mutual Exclusivity Bias in Vision-Language Models
Anh Thai, Stefan Stojanov, Zixuan Huang +2
This paper introduces MEBench, a novel benchmark for evaluating mutual exclusivity (ME) bias, a cognitive phenomenon observed in children during word learning. Unlike traditional M…
Leveraging Object Priors for Point Tracking
Bikram Boote, Anh Thai, Wenqi Jia +4
Point tracking is a fundamental problem in computer vision with numerous applications in AR and robotics. A common failure mode in long-term point tracking occurs when the predicte…
3x2: 3D Object Part Segmentation by 2D Semantic Correspondences
Anh Thai, Weiyao Wang, Hao Tang +3
3D object part segmentation is essential in computer vision applications. While substantial progress has been made in 2D object part segmentation, the 3D counterpart has received l…
The BabyView dataset: High-resolution egocentric videos of infants' and young children's everyday experiences
Bria Long, Robert Z. Sparks, Violet Xiang +9
Human children far exceed modern machine learning algorithms in their sample efficiency, achieving high performance in key domains with much less data than current models. This ''d…
ZeroShape: Regression-based Zero-shot Shape Reconstruction
Zixuan Huang, Stefan Stojanov, Anh Thai +2
We study the problem of single-image zero-shot 3D shape reconstruction. Recent works learn zero-shot shape reconstruction through generative modeling of 3D assets, but these models…
Low-shot Object Learning with Mutual Exclusivity Bias
Anh Thai, Ahmad Humayun, Stefan Stojanov +3
This paper introduces Low-shot Object Learning with Mutual Exclusivity Bias (LSME), the first computational framing of mutual exclusivity bias, a phenomenon commonly observed in in…